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Question # 4

You need to determine the location of cars in an image so that you can estimate the distance between the cars.

Which type of computer vision should you use?

A.

optical character recognition (OCR)

B.

object detection

C.

image classification

D.

face detection

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Question # 5

You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

A.

facial recognition

B.

optical character recognition (OCR)

C.

semantic segmentation

D.

object detection

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Question # 6

You need to develop a mobile app for employees to scan and store their expenses while travelling.

Which type of computer vision should you use?

A.

semantic segmentation

B.

image classification

C.

object detection

D.

optical character recognition (OCR)

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Question # 7

What is a use case for classification?

A.

predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.

B.

analyzing the contents of images and grouping images that have similar colors

C.

predicting whether someone uses a bicycle to travel to work based on the distance from home to work

D.

predicting how many minutes it will take someone to run a race based on past race times

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Question # 8

Your company manufactures widgets.

You have 1.000 digital photos of the widgets.

You need to identify the location of the widgets within the photos.

What should you use?

A.

Computer Vision Spatial Analysis

B.

Custom Vision object detection

C.

Custom Vision classification

D.

Computer Vision Image Analysis

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Question # 9

You need to create a clustering model and evaluate the model by using Azure Machine Learning designer. What should you do?

A.

Split the original dataset into a dataset for features and a dataset for labels. Use the features dataset for evaluation.

B.

Split the original dataset into a dataset for training and a dataset for testing. Use the training dataset for evaluation.

C.

Split the original dataset into a dataset for training and a dataset for testing. Use the testing dataset for evaluation.

D.

Use the original dataset for training and evaluation.

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Question # 10

Match the types of computer vision to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 11

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 12

Select the answer that correctly completes the sentence.

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Question # 13

You need to convert receipts into transactions in a spreadsheet. The spreadsheet must include the date of the transaction, the merchant the total spent and any taxes paid.

Which Azure Al service should you use?

A.

Face

B.

Azure Al Language

C.

Azure Al Document Intelligence

D.

Azure Al Custom Vision

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Question # 14

Match the facial recognition tasks to the appropriate questions.

To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 15

Which Azure service can use the prebuilt receipt model in Azure Al Document Intelligence?

A.

Azure Al Computer Vision

B.

Azure Machine Learning

C.

Azure Al Services

D.

Azure Al Custom Vision

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Question # 16

Select the answer that correctly completes the sentence.

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Question # 17

Select the answer that correctly completes the sentence.

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Question # 18

You have a database that contains a list of employees and their photos.

You are tagging new photos of the employees.

For each of the following statements select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 19

To complete the sentence, select the appropriate option in the answer area.

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Question # 20

You have a webchat bot that provides responses from a QnA Maker knowledge base.

You need to ensure that the bot uses user feedback to improve the relevance of the responses over time.

What should you use?

A.

key phrase extraction

B.

sentiment analysis

C.

business logic

D.

active learning

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Question # 21

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 22

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.

Which type of AI workload should the company use?

A.

anomaly detection

B.

conversational AI

C.

computer vision

D.

natural language processing

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Question # 23

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 24

You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers.

Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Text Analytics

B.

QnA Maker

C.

Azure Bot Service

D.

Translator Text

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Question # 25

For each of The following statements, select Yes If the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point

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Question # 26

You use drones to identify where weeds grow between rows of crops to send an Instruction for the removal of the weeds. This is an example of which type of computer vision?

A.

scene segmentation

B.

optical character recognition (OCR)

C.

object detection

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Question # 27

Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

a telephone answering service that has a pre-recorder message

B.

a chatbot that provides users with the ability to find answers on a website by themselves

C.

telephone voice menus to reduce the load on human resources

D.

a service that creates frequently asked questions (FAQ) documents by crawling public websites

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Question # 28

What can be used to complete a paragraph based on a sentence provided by a user?

A.

Azure Al Language

B.

Azure OpenAI

C.

Azure Machine Learning

D.

Azure Al Vision

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Question # 29

You are building an Al-based loan approval app.

You need to ensure that the app documents why a loan is approved or rejected and makes the report available to the applicant.

This is an example of which Microsoft responsible Al principle?

A.

fairness

B.

inclusiveness

C.

transparency

D.

accountability

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Question # 30

Select the answer that correctly completes the sentence.

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Question # 31

Select the answer that correctly completes the sentence.

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Question # 32

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 33

You use Azure Machine Learning designer to publish an inference pipeline.

Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

the model name

B.

the training endpoint

C.

the authentication key

D.

the REST endpoint

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Question # 34

You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer.

Which service should you integrate with the web app to meet the goal?

A.

Azure Al Language Service

B.

Face

C.

Azure Al Translator

D.

Azure Al Custom Vision

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Question # 35

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.

You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.

This is an example of which type of machine learning?

A.

clustering

B.

regression

C.

classification

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Question # 36

What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

coefficient of determination (R2)

B.

F1 score

C.

root mean squared error (RMSE)

D.

area under curve (AUC)

E.

balanced accuracy

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Question # 37

To complete the sentence, select the appropriate option in the answer area.

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Question # 38

To complete the sentence, select the appropriate option in the answer area.

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Question # 39

You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Education Level

B.

Last Name

C.

Age

D.

Income Range

E.

First Name

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Question # 40

To complete the sentence, select the appropriate option in the answer area.

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Question # 41

You are building a tool that will process images from retail stores and identify the products of competitors.

The solution will use a custom model.

Which Azure Cognitive Services service should you use?

A.

Custom Vision

B.

Form Recognizer

C.

Face

D.

Computer Vision

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Question # 42

You need to create a training dataset and validation dataset from an existing dataset.

Which module in the Azure Machine Learning designer should you use?

A.

Select Columns in Dataset

B.

Add Rows

C.

Split Data

D.

Join Data

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Question # 43

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

A.

Azure Al Custom Vision

B.

Azure Al Document Intelligence

C.

Azure Al Language

D.

Azure Al face

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Question # 44

Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

A.

classification

B.

regression

C.

clustering

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Question # 45

Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

dataset

B.

co mpute

C.

pipeline

D.

module

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Question # 46

To complete the sentence, select the appropriate option in the answer area.

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Question # 47

Match the principles of responsible AI to appropriate requirements.

To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

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Question # 48

When training a model, why should you randomly split the rows into separate subsets?

A.

to train the model twice to attain better accuracy

B.

to train multiple models simultaneously to attain better performance

C.

to test the model by using data that was not used to train the model

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Question # 49

To complete the sentence, select the appropriate option in the answer area.

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Question # 50

To complete the sentence, select the appropriate option in the answer area.

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Question # 51

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 52

To complete the sentence, select the appropriate option in the answer area.

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Question # 53

Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups.

This an example of which Microsoft guiding principle for responsible AI?

A.

accountability

B.

fairness

C.

inclusiveness

D.

privacy and security

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Question # 54

To complete the sentence, select the appropriate option in the answer area.

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Question # 55

Match the types of AI workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 56

You are building an AI-based app.

You need to ensure that the app uses the principles for responsible AI.

Which two principles should you follow? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Implement an Agile software development methodology

B.

Implement a process of Al model validation as part of the software review process

C.

Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

D.

Prevent the disclosure of the use of Al-based algorithms for automated decision making

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Question # 57

You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.

Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.

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Question # 58

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

knowledgeability

B.

decisiveness

C.

inclusiveness

D.

fairness

E.

opinionatedness

F.

reliability and safety

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Question # 59

To complete the sentence, select the appropriate option in the answer area.

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Question # 60

When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.

This is an example of which Microsoft guiding principle for responsible AI?

A.

transparency

B.

inclusiveness

C.

fairness

D.

privacy and security

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Question # 61

A company employs a team of customer service agents to provide telephone and email support to customers.

The company develops a webchat bot to provide automated answers to common customer queries.

Which business benefit should the company expect as a result of creating the webchat bot solution?

A.

increased sales

B.

a reduced workload for the customer service agents

C.

improved product reliability

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Question # 62

You build a machine learning model by using the automated machine learning user interface (UI).

You need to ensure that the model meets the Microsoft transparency principle for responsible AI.

What should you do?

A.

Set Validation type to Auto.

B.

Enable Explain best model.

C.

Set Primary metric to accuracy.

D.

Set Max concurrent iterations to 0.

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Question # 63

To complete the sentence, select the appropriate option in the answer area.

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Question # 64

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.

Which two services should you include in the solution? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Language Service

B.

Azure Bot Service

C.

Form Recognizer

D.

Anomaly Detector

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Question # 65

You are building an AI system.

Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

A.

Ensure that all visuals have an associated text that can be read by a screen reader.

B.

Enable autoscaling to ensure that a service scales based on demand.

C.

Provide documentation to help developers debug code.

D.

Ensure that a training dataset is representative of the population.

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Question # 66

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 67

You are developing a solution that uses the Text Analytics service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

language detection

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Question # 68

In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad

B.

generating live captions for a news broadcast

C.

extracting key phrases from the audio recording of a meeting

D.

an Al character in a computer game that speaks audibly to a player

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Question # 69

You have insurance claim reports that are stored as text.

You need to extract key terms from the reports to generate summaries.

Which type of Al workload should you use?

A.

conversational Al

B.

anomaly detection

C.

natural language processing

D.

computer vision

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Question # 70

You need to develop a chatbot for a website. The chatbot must answer users’ questions based on the information in the following documents:

    A product troubleshooting guide in a Microsoft Word document

    A frequently asked questions (FAQ) list on a webpage

Which service should you use to process the documents?

A.

Azure Bot Service

B.

Language Understanding

C.

Text Analytics

D.

QnA Maker

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Question # 71

Match the types of AI workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Full Access
Question # 72

In which scenario should you use key phrase extraction?

A.

translating a set of documents from English to German

B.

generating captions for a video based on the audio track

C.

identifying whether reviews of a restaurant are positive or negative

D.

identifying which documents provide information about the same topics

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Question # 73

To complete the sentence, select the appropriate option in the answer area.

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Question # 74

You are authoring a Language Understanding (LUIS) application to support a music festival.

You want users to be able to ask questions about scheduled shows, such as: “Which act is playing on the main stage?”

The question “Which act is playing on the main stage?” is an example of which type of element?

A.

an intent

B.

an utterance

C.

a domain

D.

an entity

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Question # 75

Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

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Question # 76

You need to make the press releases of your company available in a range of languages.

Which service should you use?

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

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Question # 77

You build a QnA Maker bot by using a frequently asked questions (FAQ) page.

You need to add professional greetings and other responses to make the bot more user friendly.

What should you do?

A.

Increase the confidence threshold of responses

B.

Enable active learning

C.

Create multi-turn questions

D.

Add chit-chat

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Question # 78

You are building a Language Understanding model for an e-commerce business.

You need to ensure that the model detects when utterances are outside the intended scope of the model.

What should you do?

A.

Test the model by using new utterances

B.

Add utterances to the None intent

C.

Create a prebuilt task entity

D.

Create a new model

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Question # 79

You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.

Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

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Question # 80

You use natural language processing to process text from a Microsoft news story.

You receive the output shown in the following exhibit.

Which type of natural languages processing was performed?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

translation

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Question # 81

You are developing a Chabot solution in Azure.

Which service should you use to determine a user’s intent?

A.

Translator

B.

Azure Cognitive Search

C.

Speech

D.

Language

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Question # 82

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.

This is an example of which type of natural language processing workload?

A.

language detection

B.

sentiment analysis

C.

key phrase extraction

D.

entity recognition

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Question # 83

You plan to apply Text Analytics API features to a technical support ticketing system.

Match the Text Analytics API features to the appropriate natural language processing scenarios.

To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 84

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Extract the invoice number from an invoice.

B.

Translate a form from French to English.

C.

Find image of product in a catalog.

D.

Identity the retailer from a receipt.

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